At a Glance
- Tasks: Design and deploy AI features using large language models to solve real-world problems.
- Company: Rapidly growing AI company with a collaborative and innovative culture.
- Benefits: Competitive salary, equity package, gym membership, and daily meals provided.
- Other info: Significant ownership and career growth opportunities in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Strong Python skills and experience with AI systems required.
The predicted salary is between 100000 - 150000 £ per year.
About The Company
The company develops AI‑powered solutions that automate complex manual workflows within highly regulated environments.
Rather than offering a one‑size‑fits‑all platform, the team builds deeply customized solutions tailored to each customer's operational processes.
Following a successful oversubscribed seed funding round backed by leading venture capital firms and notable technology investors, the company has experienced rapid commercial growth and is preparing for its next phase of expansion.
It already works with several major enterprise customers and continues to expand internationally.
The engineering team consists of experienced professionals from leading technology companies, AI research institutions, and high‑growth startups.
The organization maintains a collaborative, flat structure where engineers contribute directly to technical direction and product decisions.
About The Role
This is one of two Applied AI Engineer positions that sit at the heart of the company's AI platform.
The ideal candidate enjoys solving real‑world workflow problems using large language models rather than simply experimenting with prompts or benchmarks.
You will own AI‑powered features from concept through production deployment, working closely with customers to build reliable AI systems in a regulated environment.
This role offers significant ownership and the opportunity to influence product direction while collaborating across engineering and product teams.
Key Responsibilities
- Design, build, and deploy LLM‑powered features from concept through production.
- Deliver production‑ready AI functionality within a fast‑paced engineering environment.
- Analyze model outputs, identify failure cases, and continuously improve system performance.
- Collaborate directly with customers to understand workflows and refine AI solutions.
- Build robust evaluation frameworks that measure real production performance.
- Select, evaluate, and optimize foundation models for specific business use cases.
- Develop multi‑step AI agents and orchestration systems for complex workflows.
- Build structured information extraction pipelines from PDFs, scanned documents, forms, and tabular data.
- Work across the full product stack to deliver complete AI solutions.
- Required Qualifications
- Exceptional software engineering background demonstrated through impactful work at high‑performing technology organizations, AI research groups, quantitative firms, or rapidly growing startups.
- Strong Python programming skills.
- Hands‑on experience with modern LLM ecosystems including Open AI, Anthropic, Azure Open AI, structured outputs, function calling, and related AI tooling.
- Experience building production‑grade AI systems beyond simple chatbot implementations.
- Deep understanding of prompt engineering, evaluation methodologies, and model failure analysis.
- Ability to work across both backend (Python) and frontend technologies (Type Script/React).
- Strong product thinking with the ability to design AI solutions around complete business workflows.
- Preferred Qualifications
- Experience conducting AI or machine learning research.
- Previous founder or startup experience.
- Fellowship experience with recognized startup accelerators or entrepreneurial programs.
- Strong academic background in Computer Science, Artificial Intelligence, or Engineering.
- Experience shipping AI products in early‑stage or high‑growth technology companies.
Compensation & Benefits
- £100,000 to £150,000 base salary (depending on experience)
- Meaningful equity package
- Visa sponsorship available
- Comprehensive relocation assistance
- Daily meals provided in the office
- Gym membership
- Opportunity to work with a highly experienced engineering team
- Significant ownership and career growth in a rapidly scaling AI company
- #J-18808-Ljbffr
Applied AI Engineer in London employer: Guidant Solutions Pvt. Ltd.
Guidant Solutions Pvt. Ltd. is an exceptional employer that fosters a collaborative and innovative work culture, empowering Applied AI Engineers to take ownership of cutting-edge AI projects in a dynamic environment. With a strong focus on employee growth and development, the company offers numerous opportunities for professional advancement while working alongside talented teams dedicated to delivering impactful solutions in a regulated industry. Located in a vibrant area, employees benefit from a supportive atmosphere that encourages creativity and excellence.
Contact Details:
Guidant Solutions Pvt. Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Guidant Solutions Pvt. Ltd. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Guidant Solutions Pvt. Ltd..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Guidant Solutions Pvt. Ltd..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Guidant Solutions Pvt. Ltd. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Guidant Solutions Pvt. Ltd..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Guidant Solutions Pvt. Ltd. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Guidant Solutions Pvt. Ltd.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Guidant Solutions Pvt. Ltd. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
